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    Home»Development»Machine Learning»Adaptive Knowledge Distillation for Device-Directed Speech Detection

    Adaptive Knowledge Distillation for Device-Directed Speech Detection

    August 7, 2025

    Device-directed speech detection (DDSD) is a binary classification task that separates the user’s queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment. Specifically, we introduce a novel adaptive KD method that transfers knowledge from general representations of an ASR large pre-trained acoustic encoder (teacher). We apply task-specific adapters, on top of the (frozen) teacher encoder, trained…

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